Abstract
Glioblastoma (GBM) is the most aggressive glial tumor, where ion channels, including KCa1.1, are candidates for new therapeutic options. Since the auxiliary subunits linked to KCa1.1 in GBM are largely unknown we used electrophysiology combined with pharmacology and gene silencing to address the functional expression of KCa1.1/β subunits complexes in both primary tumor cells and in the glioblastoma cell line U-87 MG. The pattern of the sensitivity (activation/inhibition) of the whole-cell currents to paxilline, lithocholic acid, arachidonic acid, and iberiotoxin; the presence of inactivation of the whole-cell current along with the loss of the outward rectification upon exposure to the reducing agent DTT collectively argue that KCa1.1/β3 complex is expressed in U-87 MG. Similar results were found using human primary glioblastoma cells isolated from patient samples. Silencing the β3 subunit expression inhibited carbachol-induced Ca2+ transients in U-87 MG thereby indicating the role of the KCa1.1/β3 in the Ca2+ signaling of glioblastoma cells. Functional expression of the KCa1.1/β3 complex, on the other hand, lacks cell cycle dependence. We suggest that the KCa1.1/β3 complex may have diagnostic and therapeutic potential in glioblastoma in the future.
Similar content being viewed by others
Introduction
Glioblastoma (GBM) is a significant health burden globally with frequent therapeutic failure and an abysmal long-term survival. In the clinical practice, classical chemotherapeutics, such as the alkylating agent temozolomide are combined with surgery and radiotherapy. Moreover, numerous clinical trials exist aiming to optimize chemotherapy with different treatment combinations, from which some show promising effects1. These studies are, however, still limited in number. Thus, new combination therapies are necessary to tackle the therapeutic challenge GBM imposes.
Ion channels are widely targeted in the therapy of various diseases and there is evidence that they may be promising targets in cancers, as well2,3. The Ca2+- and voltage dependent K+ channel KCa1.1 (also known as BKCa, Slo1 or MaxiK) is expressed as one of the major K+ channels in GBM cells4,5. Many of its functions are still unclear and disputed. Notably, the gBK (short for glioma BK) splice variant of KCa1.1 is involved in the radiosensitivity of glioma cell lines6. However, the exact molecular mechanisms of these observations remain unclear to date. Even though radiosensitivity is altered by KCa1.1, there is only scarce evidence whether channel modulation could potentiate GBM chemosensitivity7.
The pore-forming α subunit of KCa1.1 is associated with auxiliary subunits. These subunits modify the biophysical characteristics of the channel and responsiveness to pharmacological modulators8. Moreover, the expression of a particular β subunit can be characteristic for certain pathological conditions. For example, we have showed earlier that CD44+ fibroblast-like synoviocytes isolated from rheumatoid arthritis patients display increased β3 subunit expression and augmented whole-cell KCa1.1 currents9. The REpository of Molecular BRAin Neoplasia DaTa (REMBRANDT) glioma database indicates that the KCNMB3 gene, encoding the KCa1.1 β3 subunit, is expressed in a higher copy number in high-grade gliomas leading to a poorer prognosis compared to tumors expressing KCNMB2, the gene encoding the β2 subunit10. For comparison, the expression of the α subunit (KCNMA1) is upregulated only in ≈10% of GBM patients, and its overexpression does not correlate with overall patient survival11. However, there is no functional data to support the expression of KCa1.1 α subunits in complex with β subunits in human glioblastoma cells or glioblastoma cell lines. To address this, we characterized the β subunits of KCa1.1 in primary patient-derived GBM cells as well as in U-87 MG glioblastoma cell line using the combination of molecular biology, biophysics (electrophysiology) and pharmacology. Moreover, we investigated whether these auxiliary subunits regulate functional aspects and downstream effects of KCa1.1.
Results
KCa1.1 is a prominent K+ channel in the plasma membrane of glioblastoma cells
First, we validated the functional expression of the KCa1.1 in the membrane of GBM cells using the whole-cell patch-clamp technique. We expressed the currents as current density (J=pA/pF) where currents were normalized to the cell membrane capacitance to obtain a cell-size independent parameter. As seen in Fig. 1A, the voltage-gated K+ current density in primary GBM cells is markedly increased in the presence of 1 µM intracellular Ca2+ (N=3, n=5) compared to Ca2+−free intracellular solution (N=5, n=11) which is characteristic of KCa1.1 channels (−40 mV, p=0.52; −20 mV, p=0.0004; 0 mV and above: p<0.0001, Student’s t tests). We also observed another hallmark of the KCa1.1 channel12 that currents activate at much more negative membrane potentials in the presence of intracellular Ca2+. K+ currents of the glioblastoma cell line U-87 MG (N=3, n=5) have a similar current–voltage (I–V) relationship as in primary GBM cells (Fig. 1B) (N=3, n=11); which confirms the suitability of the cell line as a model to study KCa1.1 in GBM. Also, whole-cell currents of primary GBM and U-87 MG cells are potently and irreversibly inhibited by applying 1 µM of the small-molecule blocker paxilline (Pax) (Fig. 1D). The remaining current fractions (RCF=I/I0, where I0 and I are the peak currents in the absence and in the presence of the inhibitor, respectively) in the presence of 1 µM paxilline were RCF=0.38 ± 0.04, n=20, and RCF=0.13 ± 0.02, n=13 for GBM and U-87 MG cells, respectively (Fig. 1E). Using immunofluorescence labels against KCa1.1, we also detected a punctate membrane staining13,14 on the membrane of GFAP positive GBM cells (Fig. 1C). These results support previous reports that KCa1.1 functions as a major K+ channel in GBM4,5,15,16.
β3 is the main auxiliary subunit associated with the KCa1.1 channel in glioblastoma
Auxiliary subunits of KCa1.1 are known to alter the biophysical characteristics of the channel8. However, only very limited information is available on β subunit expression in GBM. Thus, we aimed at demonstrating the expression of β subunits using molecular biology and confirming the association of KCa1.1 to its auxiliary β subunits with the combination of biophysical, pharmacological methods and genetic modulations.
First, we aimed to determine the functional expression of the β subunits in primary GBM cells and in the U-87 MG cell line using the patch-clamp technique (Fig. 2). Both lithocholic acid (LCA) and arachidonic acid (AA) activate KCa1.1 channels associated with the β1 subunit17,18,19, whereas AA also increases the current when KCa1.1 is assembled with the β2 or β3 subunits20. In primary GBM cells, AA approximately doubles whole-cell KCa1.1 currents compared to control (Fig. 2B, 1.84-fold increase, n=14, p=0.001, two-tailed Wilcoxon test), whereas LCA does not induce an increase of the KCa1.1 current (Fig. 2A, 1.02-fold increase, n=16, p=0.63, two-tailed Wilcoxon test). In contrast, in U-87 MG cells, application of LCA and AA elicit a similar increase in the outward current compared to control (on average, 1.38-fold (n=16, p=0.0002) and 1.24-fold (n=16, p=0.008) current increase, respectively, two-tailed Wilcoxon test, Fig. 2A and 2B). KCa1.1 channels co-expressed with β2 subunits inactivate with an inactivation time constant of around ~20 ms21 upon strong depolarization especially when the intracellular free Ca2+ concentration is high (10 µM). At low cytosolic Ca2+ concentrations and +100 mV depolarization, as in our study, the current would still significantly inactivate if β2 subunits are in complex with KCa1.1α22,23. Data in Fig. 2C do not support the co-expression of the β2 subunits with KCa1.1: whole-cell currents recorded from U-87 MG or primary GBM cells completely lack inactivation within 100 ms after the activation of the current. It is also known that KCa1.1 channels co-expressed with β4 subunits are resistant against the peptide inhibitor iberiotoxin (IbTx)24. We tested the inhibition of the whole cell currents in primary GBM and U-87 MG cells at 23 nM IbTx concentration which is ~2–10-fold the IC50 for KCa1.1 inhibition25 and compared the RCF to that determined using 1 µM paxilline, which is expected to block fully the KCa1.1 current when applied at negative holding potentials (IC50~12 nM). The use of ~ μM paxilline to define the KCa1.1 current component of whole-cell currents in native cells is a commonly used strategy26,27. Fig. 2D shows that in case of primary GBM the RCF values are similar upon 23 nM IbTx (RCF = 0.47 ± 0.04 (n=18)) and 1 µM paxilline (RCF=0.38 ± 0.04, n=20, p=0.12, Student’s t tests) application. Similarly, the RCF values were statistically the same for the inhibition of the whole-cell currents in U-87 MG by 23 nM IbTx (RCF= 0.13 ± 0.03 (n=8) and 1 µM paxilline (RCF=0.13 ± 0.02, n=13 for, p=0.99, Student's t tests) (Fig. 2D). The similar extent of current inhibition for the peptide and non-peptide blocker precludes the presence of KCa1.1 β4 subunits in the channel complex. In summary, the effect of pharmacological modulators on the β subunit-associated channels is consistent with the presence of the β1, β2, and β3 subunits in the KCa1.1 complex, whereas the existence of the β4 subunit/KCa1.1 complex in the cell membrane seems to be highly unlikely. This, combined with the lack of current inactivation (under conditions above) reduces the β subunit repertoire to β1 and β3 to combine with KCa1.1 in GBM or U-87 MG.
Next, we aimed at supporting the functional data using molecular biology techniques. As indicated in Fig. 3A, several KCa1.1 auxiliary subunit mRNAs are expressed in the U- 87 MG cell line. Using RT-qPCR, we found that β1 and β2 subunits are expressed at low levels in both the primary tumor and U-87 MG cells, whereas the β3 subunit shows the highest expression (Supp. Fig. 1 for primary GBM).
As small-molecule pharmacological modulators such as LCA and AA activate multiple ion channels and signaling pathways28,29, we applied genetic modulation of U-87 MG cells using siRNAs targeting different KCa1.1 β subunits to correlate β subunit expression and LCA/AA effects. Western blots in Fig. 3B demonstrate that the visible bands identified by anti-KCa1.1 β2 (KCNMB2) or β3 (KCNMB1) antibodies cannot be detected after the application of the corresponding siRNAs for 48 h (Fig. 3B). As the anti-KCa1.1 β1 (KCNMB1) antibody failed to identify any protein bands on the gel we applied this antibody to Chinese hamster ovary (CHO) cells were a band consistent with the presence of β1 (KCNMB1) expression was identified (mRNA of KCNMB1 was reported previously in CHO cells30).
The functional consequence of β subunit silencing was tested using the pharmacological modulators LCA and AA. Lithocholic acid has a similar effect on whole-cell currents after KCa1.1 β1 silencing compared to the scrambled siRNA control (p=0.63, Student’s t-test, Nsilence=3) (Fig. 3C). In contrast, both KCa1.1 β2 and β3 siRNA-treatment decreases the response of U-87 MG cell to arachidonic acid compared to scrambled RNA silencing (p=0.083 and p=0.038, respectively) (Fig. 3D and 3E). Silencing of the β3 auxiliary subunit did not affect the sensitivity of the current to paxilline (Supp. Fig. 2). Taken together the higher sensitivity of the β3 silencing on the AA response (Fig. 3E) and the larger expression of the β3 RNA compared to other auxiliary subunits (Fig. 3A) suggest that KCa1.1 β3 may be the main auxiliary subunit associated with KCa1.1 in the membrane of glioblastoma cells.
To ascertain the functional presence of the KCa1.1 β3 auxiliary subunit in GBM cells, we performed biophysical studies with specialized patch-clamp protocols31,32. We increased the intracellular free Ca2+ concentration to 10 µM and depolarized the membrane to a more positive test potential (+ 180 mV). Under such conditions, KCa1.1 channels associated to β3 subunits would be more likely to undergo a rapid and incomplete inactivation31. Indeed, as depicted in Fig. 4, the inactivation of the whole-cell current of U-87 MG cells follows this phenotype, as the current inactivation is incomplete, the I10ms/Ipeak ratio, corresponding to the current at 10 ms following the start of the depolarization (I10ms) over the peak current (Ipeak), is decreased to 0.86 ± 0.03 (n = 6; Fig. 4C). Moreover, the inactivation kinetics is very rapid, the inactivation time constant (tau) is characteristically short (2.5 ± 0.43 ms, n = 5; Fig. 4D) for the KCa1.1/β3 complex under these experimental conditions31. Association of KCa1.1 α subunits with β3 confers sensitivity of the complex to the reducing agent dithiothreitol (DTT)32. The outward rectification of the complex is abolished upon exposure to DTT as a consequence of the disruption of the disulfide links between the extracellular parts of the β3 subunits21. We exploited this phenomenon and showed that DTT treatment resulted in the appearance of the instantaneous current (i.e. tail current) when returning to a negative membrane potential (Fig. 4E and Supp. Fig. 3), whereas the tail current is absent without DTT application (Fig. 4A and Supp. Fig. 3). The peak currents at -100 mV were −487 ± 66 pA (n = 3) and 82 ± 18 pA (n = 3) respectively (Fig. 4F , p = 0.004, Student's t tests). The deactivation time constant of the tail current in the presence of 20 mM DTT was 1.68 ± 0.07 ms (n = 3), whereas in the absence of DTT the current at -100 mV does not deactivate within a 20 ms time period. These findings claim that β3 subunits are functionally present in the glioma cell membrane.
KCa1.1 β3 is involved in U-87 MG Ca2+ signaling but shows no cell cycle dependence
To investigate whether the KCa1.1 β3 subunit is involved in downstream mechanisms of KCa1.1 function, we studied the intracellular Ca2+ signaling evoked by the acetylcholine (ACh) analogue, carbachol16,33 (Fig. 5). Fig. 5A left panel shows that U-87 MG cells respond to the application of 10 µM carbachol with a marked increase in the cytosolic free Ca2+ concentration, as reported by the increased F340/F380 ratio. The Ca2+ response of the cells is inhibited by the simultaneous administration of carbachol and 1 µM paxilline (Fig. 5A, right panel). The heat maps in Fig. 6B highlight that approximately 50% of the cells in each population (59 of 120 cells in the control group, 49 of 91 cells in the carbachol + paxilline-treated group) respond to cholinergic stimulation by more than 20% increase in the F340/F380 ratio compared to their initial value. The statistical analysis (Fig. 5C) clearly indicates that paxilline (n=49 cells; peak F340/F380= 1.6 ± 0.06) inhibits the Ca2+ response of the U-87 MG cells to carbachol (n= 59 cells; peak F340/F380= 2.1 ± 0.07; p<0.0001). Interestingly, the peak of the carbachol-induced Ca2+ signal (Fig. 5D) at t = 220s is inhibited by β3 silencing (KCNMB3 siRNA transfected, n=30; p=0.0004) similarly to silencing of the pore forming subunit of KCa1.1 (KCNMA1 siRNA transfected, n=51; p=0.025). The F340/F380, ratios at t = 220 s were 1.1 ± 0.06 (n=39) for the siGAPDH treatment, 0.8 ± 0.04 (n=51) for the siKCNMA1 (siKCNMA1), and 0.9 ± 0.04 for siKCNMB3 treatments (n=30), (Fig 5D). Based on our results we conclude that KCa1.1 co-expressed with the β3 subunit mediates Ca2+-signaling in response to carbachol in U-87 MG cells.
As cytosolic Ca2+ fluctuates during the cell cycle and K+ channels are expressed in a cell cycle-dependent manner34,35, we aimed at testing whether β3 subunit-dependent modulation of the KCa1.1 current is influenced by the cell cycle of glioblastoma cells. To this end, we synchronized U-87 MG cells in M phase using colchicine and in G0 phase using serum starvation (Fig. 6). Fig. 6A shows the flow cytometry data of the synchronized cells. The histograms and Supp. Table 3 show that 36 ± 3 % of the cells were in G2/M phase 24 h after a 10 µM colchicine treatment (N=3, n=3) as compared to 16 ± 1% in the untreated group (N=3, n=5). Upon serum starvation, a high percentage of cells reside in the G0/G1 phase (57 ± 3% for untreated, 78 ± 1% for serum starvation, N=3, n=5 and N=2, n=2, respectively) (Supp. Table 3). Interestingly, we observed a marked increase in the magnitude of the whole-cell currents in M phase synchronized cells as compared to control (non-synchronized, untreated) and G0 synchronized ones (Fig. 6B-C). The increase in the peak currents becomes evident at depolarizations to +40 mV or above (Mann-Whitney test, Fig. 6C). As cell volume and cell surface can also change during the cell cycle36, we also determined current density (J, see above, section “KCa1.1 is a prominent K+ channel in the plasma membrane of glioblastoma cells”). Similar to the peak currents, the current density was significantly larger in the M phase synchronized cells as compared to control and G0 phase synchronized ones at depolarized test potentials (above +20 mV, Mann-Whitney test, Fig. 6D). To ensure that the main component of the whole-cell currents remains KCa1.1 in these cells, we applied paxilline (1 µM) to each synchronized and control cell population (Fig. 6E). We found a pronounced inhibition of the whole cell K+ current by paxilline in all cell cycle phases, especially in the M phase, the average RCF in colchicine- and serum starvation-treated cells were 0.05 ± 0.01 (n=9) and 0.17 ± 0.02 (n=10), respectively (p=0.007, Kruskal–Wallis test, Fig. 6E). This confirms that the major current component is KCa1.1 in colchicine-synchronized cells. On the other hand, the increase in the whole-cell current induced by 30 µM AA was similar in all groups (current increase: 1.26 ± 0.09 (n=16), 1.1 ± 0.08 (n=10) and 1.09 ± 0.03 (n=10) for the untreated, colchicine- and serum starvation treated cells respectively, p=0.46, Kruskal-Wallis test, Fig. 6F). Together, these results indicate that KCa1.1 function is increased after M phase synchronization, without alterations in the β3 subunit-dependent K+ current modulation.
Discussion
In this study, we showed that the Ca2+- and voltage dependent K+ channel KCa1.1 functions in the plasma membrane of patient-derived primary glioblastoma cells as well as the U-87 MG cell line in association with its auxiliary β3 subunit (Figs. 1, 2, 3 and 4). This is relevant for cellular Ca2+ signaling (Fig. 5) but not for cell cycle progression (Fig. 6). Even though KCa1.1 is ubiquitously expressed in many tissues in the human body, auxiliary β subunits have a much more restricted tissue expression. Particularly, the β3 subunit is rarely found in healthy tissues37, and has only been described to date in the testes, pancreas and spleen. This may be relevant in diagnosis and/or therapy, especially since the increased expression of KCa1.1 β3-encoding gene KCNMB3 correlates with poor survival of GBM patients10 and increased β3 auxiliary subunit expression was described in fibroblast-like synoviocites in rheumatoid arthritis9. Also, an intriguing prospect of KCNMB3 expression in high-grade gliomas10 is that based on our findings KCa1.1 β3 can be a cell surface prognostic marker in GBM. Therefore, generating auxiliary subunit-specific probes is warranted in a future study.
Based on the following pieces of evidence we argue for the presence and functional activity of β3/KCa1.1 α complexes on glioblastoma cells: (i) the transcript for β3 is highly expressed, its relative expression is similar to that of the α subunit in U-87 MG cells (Fig. 3A); (ii) the whole cell current was augmented by AA application (Fig. 2B), and this effect was diminished following silencing of the β3 auxiliary subunit (Fig. 3E); (iii) fast and incomplete inactivation of the whole cell current was recorded at high, 10 µM intracellular free Ca2+ concentration and depolarization to +180 mV (Fig. 4A-D); (iv) inward tail currents were recorded at −100 mV upon exposure of the cells to the reducing agent DTT (Fig. 4D-E). Moreover, sensitivity of the whole cell current to 23 nM IbTx is consistent with the pharmacology of the KCa1.1/β3 complex38. Nevertheless, the findings listed in i.-iv. should be collectively interpreted and used as an argument for the presence of the β3 auxiliary subunit/KCa1.1 α complex as many of these characteristics are shared with other β subunit/KCa1.1 α complexes, as discussed below.
For example, the β1 subunit, prominently expressed in smooth muscle cells, prolongs activation kinetics of KCa1.1 and has a well characterized pharmacological activation by bile acids8,17,39,40. Even though ionic currents of primary U-87 MG cells, and to a smaller extent in GBM, are activated by 75 μM lithocholic acid, two factors argue against the presence of KCa1.1 β1 in glioblastoma cells. First, we could not detect KCa1.1 β1 in RT-qPCR (Fig. 3A). In line with this, we observed similar pharmacological response in KCNMB1-silenced cells as in the scrambled siRNA-treated controls, as if the effect of LCA on the currents was oblivious to the presence or absence of the β1 subunit. Knowing that bile acids activate a multitude of other ion channels, e.g. bile acid sensitive ion channels (BASIC)41, it is much more likely that LCA acts on different ion channels than KCa1.1 in glioblastoma cells. KCa1.1 in complex with β1 is also quite resistant to IbTx inhibition (IC50~between ~65 nM24 to ~370 nM38, which is in contrast to our finding in Fig. 2D). Furthermore, it is known that β1 associated KCa1.1 channels have instantaneous tail currents at negative membrane potentials42, and based on our recordings, we have only seen tail currents at negative membrane potentials when we treated the cells with 20 mM DTT (Fig. 4E and F).
Regarding the β2 subunit of KCa1.1, we found that it is present in the cells on mRNA level as determined by RT-qPCR. β2 subunits are similar to β3 subunits in a manner that arachidonic acid increases the KCa1.1 current if the channel is associated with them20,29. Moreover, KCNMB2-silenced U-87 MG cells show less AA-dependent response compared to control-silenced cells, indicating that KCa1.1 may be in complex with this auxiliary subunit. However, β2 subunits lead to a complete inactivation of KCa1.1-mediated currents, even at low cytosolic Ca2+ concentration and modest depolarization to +100 mV, which was used to obtain data in Fig 2C 22,23. Complete inactivation of the current was rarely (n=2 out of n=51 primary GBM cells) observed in our settings, with most whole-cell currents showing no inactivation during 200 ms (Fig. 2C). We did not see the complete inactivation of the current either when the recording conditions were optimal to see the inactivation induced by the β2 subunits, i.e., when the free Ca2+ concentration in the pipette filling solution was 10 µM (Fig. 4). The lack of inactivation - characteristic to the presence of β2 - can be attributed to the variability in the stoichiometry between the different β subunits associated with to the α subunit of KCa1.1: as four possible β subunits can simultaneously bind to one functional channel43, the ratio of different β subunits associated with the channel may become very important, as indicated previously44,45. In GBM, a biological consequence of altered subunit stoichiometry is easily possible: more β2 subunits linked to one KCa1.1 channel would mean complete channel inactivation, thus less driving force for Ca2+ signals, whereas more β3 subunits would lead to a rapid but incomplete channel inactivation (as can be seen in Fig. 4) and a prolonged Ca2+ influx. Therefore, a thorough assessment is warranted in a further study to prove this concept in GBM.
The KCa1.1 β4 subunit is known to be expressed in the central nervous system37,46. In transfected model cells, KCa1.1 channels coupled to β4 subunit become resistant to inhibition by the peptide toxin IbTx24,47. Bicistronic expression experiments confirmed that when β4 is present in saturating stoichiometry the β4/KCa1.1 complexes are insensitive to IbTx-mediated inhibition38. In contrast, we observed that IbTx inhibits whole-cell currents potently (Fig. 2D). Thus, it is likely that the β4 subunit is not associated with KCa1.1 in glioblastoma. Lastly, KCa1.1 gamma subunits, are unlikely in GBM cells: as KCa1.1 channels associated with γ subunits already open at very negative membrane potentials of –150 mV42. In comparison, KCa1.1 starts to conduct at a more positive membrane potential in primary GBM as well as in U-87 MG cells (Fig. 1A). In summary, besides the evident association of KCa1.1 channels to β3 in the plasma membrane of GBM cells, it is likely that a minority of the channels may be coupled to β2.
To our knowledge, we are the first to describe that KCa1.1, coupled to its auxiliary β3 subunit, modulates the Ca2+ signal upon ACh receptor stimulation (Fig. 5). The reduced Ca2+ signal in the presence of the KCa1.1, inhibitor paxilline is consistent with a model where KCa1.1-dependent membrane potential alterations provide the electrical driving force for Ca2+ entry48. Generally, the function of ancillary ion channel subunits is to fine-tune the expression and biophysical properties of the pore-forming (here KCa1.1) α subunit8,49,50. It has been recently proposed that ACh-induced signals, in a Ca2+-dependent manner, induce matrix metalloprotease 9, which ultimately increases glioblastoma cell invasiveness33.
Interestingly, the KCa1.1 channel together with the β3 subunit is also functional in fibroblast-like synoviocytes in rheumatoid arthritis9. One explanation for this can be that both glioblastoma and rheumatoid arthritis are accompanied by pronounced inflammation altering multiple parameters such as pH and the mechanical environment51,52,53. For example, it has been described that mechanosensitivity of KCa1.1 is conferred by the auxiliary β1 subunit in vascular smooth muscle54. Whether alterations in the microenvironment indeed modify auxiliary subunit expression via a common mechanism in diseases involving inflammation remains to be elucidated.
Conclusion
We found that KCa1.1 channels are coupled primarily to the auxiliary β3 subunit in the cell membrane of glioblastoma and U-87 MG cells with functional consequences on Ca2+-signaling of GBM cells upon muscarinic acetylcholine receptor activation. The β3 subunit expression of GBM cells may allow either specific targeting of the tumor cells using β3 subunit specific inhibitors and/or allow diagnostic tools to be developed based on β3 subunit expression. In conclusion, we propose that the β3 subunit of the channel acts as a membrane-localized marker for glioblastoma cells to be exploited for diagnostic or therapeutic approaches.
Materials and methods
Glioblastoma cell isolation
Experiments on patient-derived GBM tissue samples were carried out under the approval of the Hungarian Research Ethical Committee (ETT-TUKEB, IV/186- 1 /2022/EKU). Diagnosis was established according to WHO criteria55 by a neuropathologist (T.H.). Informed consent was obtained for all human subjects involved in this study. Tumor samples were collected from anonymized adult patients during the surgical removal of the glioblastoma and transported for further processing in HBSS (Hank’s Balanced Salt Solution) on ice. Next, tissue samples were digested for 30 min in Collagenase type I (Sigma Aldrich, Burlington, MA, USA), and eventually homogenized using a tissue homogenizer and Pasteur pipettes, as modified from Souza et al.56. Lastly, single cell suspension was achieved using a 70 µm cell strainer (Corning, Corning, NY, USA). Single cells were left to adhere in DMEM + 10% FCS at 37 °C and 5% CO2 for 2 h, then washed 3× with PBS. Cells were incubated in DMEM medium including 10% FCS, 1% glutamate, 1% penicillin-streptomycin and 1% non-essential amino acids for a maximum of three passages. Glioblastoma cell purity was routinely assessed using GFAP immunocytochemistry57. Only those glioma populations were used for experiments, where >90% of cells showed clear GFAP positivity.
Patch-clamp electrophysiology
Whole-cell currents of voltage-clamped cells were recorded by manual patch-clamp electrophysiology according to standard protocols using an Axopatch 200B amplifier connected to a computer and digitized with Digidata 1550B (Molecular Devices, CA, USA). Pipettes were pulled from GC 150F-15 borosilicate glass capillaries (Harvard Apparatus, MA, USA) in five stages with 4–10 MΩ resistance. Immediately before the measurement, the cells were maintained in the recording petri dish in a bath solution consisting of 145 mM Na-aspartate, 5 mM KCl, 1 mM MgCl2, 2.5 mM CaCl2, 5.5 mM glucose, and 10 mM HEPES, pH = 7.4, titrated with NaOH. The composition of the solution used in the patch pipette (internal solution) was either Ca2+-free (composition: 140 mM KF, 2 mM MgCl2, 1 mM CaCl2, 10 mM HEPES, and 11 mM EGTA, pH = 7.22, titrated with KOH) or contained 1–10 µM free Ca2+ (145 mM K-aspartate, 10 mM EGTA, 10 mM HEPES, 2 mM MgCl2, and 8.5 mM CaCl2, pH = 7.2, titrated with Tris). KCa1.1 channel modulators (lithocholic acid, arachidonic acid, iberiotoxin, paxilline and dithiothreitol(DTT); Sigma Aldrich, Burlington, MA, USA) were freshly diluted to the desired concentration (75 µM, 30 µM, 23 nM, 1 µM and 20 mM respectively) in the bath solution. The solvents of the stock (DMSO or ethanol) were diluted to ≤0.1% V/V in the bath solution. Solution exchange was achieved by using a gravity-flow perfusion system (flow rate: 2 ml/min) with continuous excess fluid removal. For the biophysical characterization of the KCa1.1 currents, the cells were depolarized from a holding potential of −100 mV to +100 mV in +20 mV increments. We used a 100 or 200 ms depolarization protocol from −100 mV to +100 mV for testing of KCa1.1 channel modulators and 20 ms-long test pulses to +180 mV from −180 mV holding potential to study inactivation, and measured the instantaneous currents at −100 mV. All experiments were carried out at room temperature. Voltage-clamp data were acquired with pClamp10 (Molecular Devices, CA, USA). In general, currents were low-pass-filtered using the built-in analog four-pole Bessel filters of the amplifiers and sampled at 20 and 50 kHz. Whole-cell current traces were digitally filtered (five-point boxcar smoothing) before analysis. Clampfit 10.7 (Molecular Devices, CA, USA) and GraphPad Prism 7 (GraphPad, CA, USA) were used for data display and analysis.
Immunocytochemistry
We followed standard immunofluorescence protocol as described in13 for fluorescent detection of KCa1.1 and the glial fibrillic acidic protein (GFAP). Briefly, primary patient-derived GBM cells were plated onto coverslips after the first passage. After overnight adhesion, cells were washed, then fixed (4% paraformaldehyde + 0.1% Triton-X-100 in PBS) at room temperature for 20 min. After washing and blocking (10% goat serum in PBS) at room temperature for 1 h, cells were labeled with antibodies against KCa1.1α (1:200 dilution of AB5228; rabbit polyclonal, Merck Millipore, Darmstadt, Germany) and/or GFAP (1:500 dilution of G3893; mouse monoclonal, Sigma Aldrich, Burlington, MA, USA) at 4 °C overnight. After washing, fluorescent secondary antibodies against mouse (405324, Alexa-555 rabbit polyclonal, Biolegend, CA, USA) and rabbit (A-21244, Alexa-647 goat polyclonal, Invitrogen, MA, USA) were applied at 1:1000 dilution at 4 °C for 2 h. Lastly, after washing coverslips were mounted onto slides using DAKO mounting medium (Agilent, Santa Clara, CA, USA). Acquisition and qualitative assessment of the stainings were performed at 40× magnification using a confocal microscope (Olympos FV1000). Cells were labelled GFAP positive when the intracellular staining had a typical filamentary phenotype, and KCa1.1 staining was considered positive when it had a punctate membrane staining pattern typical of ion channels13,14.
RNA isolation and RT-qPCR
RNA was isolated from primary GBM cells after 24 h of culture as well as from cultured U-87 MG cells using TRIzolTM (Life Technologies, Carlsbad, CA, USA) following manufacturer’s instructions. cDNA was generated using the Superscript III™ Reverse Transcriptase kit (Invitrogen, Waltham, MA, USA) with 2 μg of RNA per reaction. RT-PCR was performed using a QuantStudio 3 cycler with PowerUp™ SYBR™ Green Master Mix (Applied Biosystems®/Thermo Fisher Scientific, Waltham, MA, USA), according to manufacturer´s instructions. Data was evaluated using the QuantStudio Design and Analysis software (Applied Biosystems®/Thermo Fisher Scientific, Waltham, MA, USA). Primer sequences are listed in Supp. Tables 1 and 2 for of U-87 MG cells primary patient-derived GBM cells, respectively.
siRNA application
The U-87 MG cells were transfected with siRNA according to manufacturer´s instructions by Dharmacon™ (Horizon Discovery, Lafayette, CO, USA). Briefly, cells were transfected in Gibco® Opti-MEM™ medium (Thermo Fisher Scientific, Waltham, MA, USA), containing 2 µl/ml DharmaFECT™ (Horizon Discovery, Lafayette, CO, USA) and 5 µg/ml scrambled siRNA (AccuTarget™ Negative Contol siRNA, Bioneer, Daejeon, South Korea); or 5 µg/ml of a mixture (SMARTpool) of ON-TARGETplus siRNA against either GAPDH (siGAPDH) KCNMA1 (siKCNMA1), KCNMB1 (siKCNMB1), KCNMB2 (siKCNMB2) or KCNMB3 (siKCNMB3) at 37 °C and 5% CO2 for 24 to 48 h before patch-clamp and Western blot analysis. Gene silencing was validated using Western Blot (Fig. 3B).
Western blot
Protein from U-87 MG cells was isolated using TRIS lysis buffer (25 mM mercaptoethanol, 1 µl/ml Tween 20, 10 µl/ml protease inhibitor, 50 mM TRIS base, pH=7.5) and sonication for 30 s. 120 µg of denatured protein sample were loaded into each well of the 12% ProSieve 50 (Lonza, ME, USA) modified acrylamide gel for electrophoresis (80 mV for 20 min, then 120 mV for 90 min), followed by transfer onto PVDF membranes (100 mV for 90 min). After blocking (5% skim milk powder in 10 mM TRIS-buffered saline) at 4 °C for 1 h, the blocked membranes were incubated at 4 °C overnight with 1:1000-fold dilutions of primary antibodies against the KCa1.1 β subunits or actin: anti-KCNMB1 (nb300-535, rabbit polyclonal, Novus Biologicals, CO, USA), anti-KCNMB2 (MA5-27646, mouse monoclonal, Thermo Fisher Scientific, Waltham, MA, USA), anti-KCNMB3 (ab137041, rabbit monoclonal, Abcam, Cambridge, UK), anti-actin (a2066, rabbit polyclonal, Sigma-Aldrich, MO, USA). After washing three times, blots were incubated 1:10 000-fold diluted secondary anti-mouse (#7076, Cell Signaling Technology, MA, USA) or anti-rabbit antibodies (#7074, Cell Signaling Technology, MA, USA) at 4 °C for 2 h. Blot chemiluminescence was detected using a commercial detection system (Chemidoc XRS, Bio-Rad, Hercules, CA, USA).
Cell synchronization and cell-cycle analysis
For metaphase cell synchronization, U-87 MG cells were incubated with 4 µg/ml colchicine (Sigma Aldrich, Burlington, MA, USA)-containing medium at 37 °C and 5% CO2 for 24 h. To measure the efficacy of synchronization, colchicine-synchronized as well as the untreated U-87 MG cells were fixed and permeabilized with 80% ethanol at room temperature for 20 min and stained with 2 µg/ml propidium-iodide (PI) at room temperature for 10 min for flow cytometry measurements58. The data were acquired with BD FacsAria III Cell Sorter (BD Biosciences, NJ, USA). 561 nm excitation laser and 610/20 nm emission filter with 600 nm long-pass dichroic mirrors were used for event detection. Data was subsequently evaluated with Flowjo V10 software (BD, Franklin Lakes, NJ, USA).
Intracellular Ca2+ measurements
U-87 MG cells were loaded with 3 µM Fura-2-AM (Invitrogen, Waltham, MA, USA)-containing HEPES-buffered Ringer`s solution with glucose (140 mM NaCl, 5.4 mM KCl, 1.2 mM CaCl2, 0.8 mM MgCl2, 5.5 mM D-glucose, and 10 mM HEPES, titrated to pH = 7.4, titrated with NaOH) for 20 min at 37 °C. Next, cells were washed twice with fresh Ringer`s solution and were then visualized using an imaging setup composed of a Zeiss AxioVert 100 inverted fluorescence microscope (Zeiss, Oberkochen, Germany), a high-speed shutter, a polychromator (Visitron Systems, Puchheim, Germany) and a 37 °C acquisition cabin. Fura-2 excitation wavelengths were 340 nm and 380 nm, corresponding to the Ca2+-loaded and Ca2+-free excitation optima, respectively. Fluorescence emission was recorded at a wavelength of 510 nm. The ratio of the fluorescence intensities emitted upon 340 nm and 380 nm excitation (F340/F380) is directly proportional to the intracellular Ca2+ concentrations and was used in this study to report the cytosolic free Ca2+ concentration59. The cells were kept at 37 °C during the whole measurement. During the acquisition, cells were initially superfused with the control solution (0.1% DMSO in Ringer´s solution) for 2 min, followed by 5 min with either only 10 µM acetylcholine (Ach)-receptor agonist carbachol (carbamylcholine chloride; Sigma Aldrich, Burlington, MA, USA)-containing Ringer´s solution to elicit a Ca2+-signal (previously described by16,33), or with 10 µM carbachol + 1 µM paxilline containing Ringer´s solution to simultaneously inhibit KCa1.1. Ratios were evaluated with the Visiview 3.0 software (Visitron Systems, Puchheim, Germany), and ultimately, individual F340/F380-curves were visualized using R60.
Statistical analysis
Data are presented as mean ± SEM. Statistical analysis was carried out using GraphPad Prism 7. Following a D’Agostino-Pearson normality test, unpaired Student's t tests or one-way ANOVA were performed with Tukey’s post hoc test, in other cases Mann-Whitney or Kruskal–Wallis tests were used. To assess the effects of the channel modulators we performed Wilcoxon signed-rank tests. Statistical significance was assumed when p < 0.05.
Data availability
The data that supports the findings is available upon request from the corresponding author panyi@med.unideb.hu.
Abbreviations
- GBM:
-
Glioblastoma multiforme
- PAX:
-
Paxilline
- LCA:
-
Lithocholic acid
- AA:
-
Arachidonic acid
- Ibtx:
-
Iberiotoxin
- gBK:
-
Glioma BK
- GFAP:
-
Glial fibrillary acidic protein
- RCF:
-
Remaining current fraction
- PI:
-
Propidium iodide
- Ach:
-
Acethylcholine
References
Tan, A. C. et al. Management of glioblastoma: State of the art and future directions. CA Cancer J. Clin. 70, 299–312 (2020).
Hofschröer, V. et al. Ion Channels Orchestrate Pancreatic Ductal Adenocarcinoma Progression and Therapy. Front. Pharmacol. 11, 586599 (2021).
Capatina, A. L., Lagos, D. & Brackenbury, W. J. Targeting Ion Channels for Cancer Treatment: Current Progress and Future Challenges. Rev. Physiol. Biochem. Pharmacol. 1–43 https://doi.org/10.1007/112_2020_46 (2020).
Liu, X., Chang, Y., Reinhart, P. H. & Sontheimer, H. Cloning and characterization of glioma BK, a novel BK channel isoform highly expressed in human glioma cells. J. Neurosci. 22, 1840–1849 (2002).
Ransom, C. B., Liu, X. & Sontheimer, H. BK channels in human glioma cells have enhanced calcium sensitivity. Glia 38, 281–291 (2002).
Edalat, L. et al. BK K+ channel blockade inhibits radiation-induced migration/brain infiltration of glioblastoma cells. Oncotarget 7, 14259–14278 (2016).
Rosa, P. et al. BK channels blockage inhibits hypoxia-induced migration and chemoresistance to cisplatin in human glioblastoma cells. J. Cell Physiol. 233, 6866–6877 (2018).
Li, Q. & Yan, J. Modulation of BK channel function by auxiliary beta and gamma subunits. Int. Rev. Neurobiol. 128, 51–90 (2016).
Petho, Z. et al. Erratum to: Different expression of β subunits of the KCa1.1 channel by invasive and non-invasive human fibroblast-like synoviocytes [Arthritis Res Ther. 2016;18:103.]. Arthritis Res. Ther. 18, 122 (2016).
Ge, L. et al. Big potassium (BK) ion channels in biology, disease and possible targets for cancer immunotherapy. Int. Immunopharmacol. 22, 427–443 (2014).
Turner, K. L., Honasoge, A., Robert, S. M., Mcferrin, M. M. & Sontheimer, H. A proinvasive role for the Ca2+-activated K+ channel KCa3.1 in malignant glioma. Glia 62, 971–981 (2014).
Cox, D. H. Modeling a Ca2+ channel/BKCa channel complex at the single-complex level. Biophys. J. 107, 2797–2814 (2014).
Kuntze, A. et al. Protonation of Piezo1 Impairs Cell-Matrix Interactions of Pancreatic Stellate Cells. Front. Physiol. 11, 89 (2020).
Waschk, D. E. J., Fabian, A., Budde, T. & Schwab, A. Dual-color quantum dot detection of a heterotetrameric potassium channel (hKCa3.1). Am J Physiol Cell Physiol 300(4), C843–9 (2011).
Kraft, R. et al. BK channel openers inhibit migration of human glioma cells. Pflugers Arch. 446, 248–255 (2003).
Bordey, A., Sontheimer, H. & Trouslard, J. Muscarinic activation of BK channels induces membrane oscillations in glioma cells and leads to inhibition of cell migration. J. Membr. Biol. 176, 31–40 (2000).
Dopico, A. M., Walsh, J. V. & Singer, J. J. Natural bile acids and synthetic analogues modulate large conductance Ca2+-activated K+ (BKCa) channel activity in smooth muscle cells. J. Gen. Physiol. 119, 251 (2002).
Bukiya, A. N., Vaithianathan, T., Toro, L. & Dopico, A. M. Channel beta2-4 subunits fail to substitute for beta1 in sensitizing BK channels to lithocholate. Biochem. Biophys. Res. Commun. 390, 995–1000 (2009).
Martín, P. et al. Arachidonic acid activation of BKCa (Slo1) channels associated to the β1-subunit in human vascular smooth muscle cells. Pflugers Arch. 466, 1779–1792 (2014).
Sun, X., Zhou, D., Zhang, P., Moczydlowski, E. G. & Haddad, G. G. Beta-subunit-dependent modulation of hSlo BK current by arachidonic acid. J. Neurophysiol. 97, 62–69 (2007).
Xia, X. M., Ding, J. P. & Lingle, C. J. Inactivation of BK channels by the NH2 terminus of the beta2 auxiliary subunit: An essential role of a terminal peptide segment of three hydrophobic residues. J. Gen. Physiol. 121, 125–148 (2003).
Ding, J. P. & Lingle, C. J. Steady-state and closed-state inactivation properties of inactivating BK channels. Biophys. J. 82, 2448–2465 (2002).
Wallner, M., Meera, P. & Toro, L. Molecular basis of fast inactivation in voltage and Ca2+-activated K+ channels: A transmembrane beta-subunit homolog. Proc. Natl. Acad. Sci. U S A 96, 4137–4142 (1999).
Meera, P., Wallner, M. & Toro, L. A neuronal beta subunit (KCNMB4) makes the large conductance, voltage- and Ca2+-activated K+ channel resistant to charybdotoxin and iberiotoxin. Proc. Natl. Acad. Sci. U S A 97, 5562–5567 (2000).
Tanner, M. R. et al. Targeting KCa1.1 channels with a scorpion venom peptide for the therapy of rat models of rheumatoid arthritis. J. Pharmacol. Exp. Ther. 365, 227 (2018).
Petrik, D., Wang, B. & Brenner, R. Modulation by the BK accessory β4 subunit of phosphorylation-dependent changes in excitability of dentate gyrus granule neurons. Eur. J. Neurosci. 34, 695–704 (2011).
Shruti, S. et al. The brain-specific Beta4 subunit downregulates BK channel cell surface expression. PLoS One 7(3), e33429 (2012).
Kiriyama, Y. & Nochi, H. The biosynthesis, signaling, and neurological functions of bile acids. Biomolecules 9, 232 (2019).
Antollini, S. S. & Barrantes, F. J. Fatty acid regulation of voltage- and ligand-gated ion channel function. Front. Physiol. 7, 573 (2016).
Garza Lopez, E., Sánchez-Carranza, O., Nishigaki, T. & López-González, I. Pharmacological identification of endogenous Slo1 channel-B1 subunit complexes in CHO cells using three aKTX1 subfamily toxins. Int. J. Pharm. Therapeutics 6, 11–24 (2015).
Xia, X. M., Ding, J. P., Zeng, X. H., Duan, K. L. & Lingle, C. J. Rectification and rapid activation at low Ca2+ of Ca2+-activated, voltage-dependent BK currents: Consequences of rapid inactivation by a novel beta subunit. J. Neurosci. 20, 4890–4903 (2000).
Zeng, X. H., Xia, X. M. & Lingle, C. J. Redox-sensitive extracellular gates formed by auxiliary beta subunits of calcium-activated potassium channels. Nat. Struct. Biol. 10, 448–454 (2003).
Thompson, E. G. & Sontheimer, H. Acetylcholine receptor activation as a modulator of glioblastoma invasion. Cells 8(10), 1203 (2019).
Urrego, D., Tomczak, A. P., Zahed, F., Stühmer, W. & Pardo, L. A. Potassium channels in cell cycle and cell proliferation. Philosophical Transactions R. Soc. B Biol. Sci. 369(1638), 20130094 (2014).
Ouadid-Ahidouch, H. & Ahidouch, A. K+ channels and cell cycle progression in tumor cells. Front. Physiol. 4, 220 (2013).
Hoffmann, E. K., Lambert, I. H. & Pedersen, S. F. Physiology of cell volume regulation in vertebrates. Physiol. Rev. 89, 193–277 (2009).
Behrens, R. et al. hKCNMB3 and hKCNMB4, cloning and characterization of two members of the large-conductance calcium-activated potassium channel beta subunit family. FEBS Lett. 474, 99–106 (2000).
Lippiat, J. D., Standen, N. B., Harrow, I. D., Phillips, S. C. & Davies, N. W. Properties of BKCa Channels Formed by Bicistronic Expression of hSloα and β1–4 Subunits in HEK293 Cells. J. Membr. Biol. 2003 192:2 192, 141–148 (2003).
Dopico, A. M., Bukiya, A. N. & Jaggar, J. H. Calcium- and voltage-gated BK channels in vascular smooth muscle. Pflugers Arch. 470, 1271 (2018).
Bukiya, A. N., Vaithianathan, T., Toro, L. & Dopico, A. M. The second transmembrane domain of the large conductance, voltage- and calcium-gated potassium channel β1 subunit is a lithocholate sensor. FEBS Lett. 582, 673 (2008).
Wiemuth, D., Assmann, M. & Gründer, S. The bile acid-sensitive ion channel (BASIC), the ignored cousin of ASICs and ENaC. Channels 8, 29 (2014).
Gonzalez-Perez, V. & Lingle, C. J. Regulation of BK channels by beta and gamma subunits. Annu. Rev. Physiol. 81, 113 (2019).
Wang, Y. W., Ding, J. P., Xia, X. M. & Lingle, C. J. Consequences of the stoichiometry of Slo1 alpha and auxiliary beta subunits on functional properties of large-conductance Ca2+-activated K+ channels. J. Neurosci. 22, 1550–1561 (2002).
Kuntamallappanavar, G., Bisen, S., Bukiya, A. N. & Dopico, A. M. Differential distribution and functional impact of BK channel beta1 subunits across mesenteric, coronary, and different cerebral arteries of the rat. Pflugers Arch. 469, 263–277 (2017).
Martinez-Espinosa, P. L., Yang, C., Gonzalez-Perez, V., Xia, X. M. & Lingle, C. J. Knockout of the BK β2 subunit abolishes inactivation of BK currents in mouse adrenal chromaffin cells and results in slow-wave burst activity. J. Gen. Physiol. 144, 275–295 (2014).
Brenner, R., Jegla, T. J., Wickenden, A., Liu, Y. & Aldrich, R. W. Cloning and functional characterization of novel large conductance calcium-activated potassium channel beta subunits, hKCNMB3 and hKCNMB4. J. Biol. Chem. 275, 6453–6461 (2000).
Candia, S., Garcia, M. L. & Latorre, R. Mode of action of iberiotoxin, a potent blocker of the large conductance Ca2+ -activated K+ channel. Biophys. J. 63, 583–590 (1992).
Steinle, M. et al. Ionizing radiation induces migration of glioblastoma cells by activating BK K(+) channels. Radiother. Oncol. 101, 122–126 (2011).
Contreras, G. F., Neely, A., Alvarez, O., Gonzalez, C. & Latorre, R. Modulation of BK channel voltage gating by different auxiliary β subunits. Proc. Natl. Acad. Sci. U S A 109, 18991–18996 (2012).
Haworth, A. S. & Brackenbury, W. J. Emerging roles for multifunctional ion channel auxiliary subunits in cancer. 80, 125–140 (2019).
Pethő, Z., Najder, K., Bulk, E. & Schwab, A. Mechanosensitive ion channels push cancer progression. Cell Calcium vol. 80 79–90 Preprint at https://doi.org/10.1016/j.ceca.2019.03.007 (2019).
Pedersen, S. F., Novak, I., Alves, F., Schwab, A. & Pardo, L. A. Alternating pH landscapes shape epithelial cancer initiation and progression: Focus on pancreatic cancer. BioEssays vol. 39 Preprint at https://doi.org/10.1002/bies.201600253 (2017).
Pethő, Z. et al. pH-channeling in cancer: How pH-dependence of cation channels shapes cancer pathophysiology. Cancers vol. 12 1–37 Preprint at https://doi.org/10.3390/cancers12092484 (2020).
Xin, X. F. et al. The extracellular loop of the auxiliary β1-subunit is involved in the regulation of BK Ca channel mechanosensitivity. Am. J. Physiol. Cell Physiol. 315, C485–C493 (2018).
Louis, D. N. et al. The 2016 World Health Organization classification of tumors of the central nervous system: A summary. Acta Neuropathol. 131, 803–820 (2016).
Souza, D. G., Bellaver, B., Souza, D. O. & Quincozes-Santos, A. Characterization of adult rat astrocyte cultures. PLoS One 8(3), e60282 (2013).
Oliva, M. A. et al. Characterization of primary glioma cell lines derived from the patients according to 2016 CNS tumour WHO classification and comparison with their parental tumours. J. Neuro Oncol. 2021 151:2 151, 123–133 (2021).
Darzynkiewicz, Z. Critical Aspects in Analysis of Cellular DNA Content. Curr Protoc Cytom 52, 7.2.1–7.2.8 (2010).
Kuhn, S. A. et al. Glioblastoma cells express functional cell membrane receptors activated by daily used medical drugs. J. Cancer Res. Clin. Oncol. 135, 1729 (2009).
R Core Team. R: A language and environment for statistical computing. Preprint at (2021).
Acknowledgements
We would like to thank Cecilia Nagy and Adrienn Bagosi for their excellent technical support. The study was funded by the following grants: National Research Development and Innovation Office, Hungary, grants OTKA K212285, K143071 and K119417 (G.P.) and OTKA K132906 (Z.V.); Ministry of Human Capacities, Hungary, grant EFOP-3.6.2-16-2017-00006 (G. Panyi, G.). Z.P. was supported by the ÚNKP-16-3-I. A.F. was supported by the ÚNKP-22-3-II-DE-38 New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund. A.K. was supported by the 2017-1.2.1-NKP-2017-00002 “National Brain Research Program NAP 2.0”.
Author information
Authors and Affiliations
Contributions
Z.P. and G.P. conceived the study, which was developed together with A.F. and Z.V.. A.K. obtained glioblastoma patient samples, and T.H. performed neuropathological analysis. T.G.Sz., G.T., A.F. and Z.P. performed patch clamp measurements. Synchronization and cell cycle measurements were done by G.B., G.T. and A.F. Intracellular Ca2 + measurements were performed by Z.P. in discussion with A.S. The manuscript and figures were prepared by A.F. and Z.P. All authors read and approved the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Feher, A., Pethő, Z., Szanto, T.G. et al. Mapping the functional expression of auxiliary subunits of KCa1.1 in glioblastoma. Sci Rep 12, 22023 (2022). https://doi.org/10.1038/s41598-022-26196-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-022-26196-w